1. Qcfinance.in
http://www.wiziq.com/course/19620-vba-
for-financial-engineering-and-modeling

2. 1. Requires absolutely no knowledge of programming
2. Provide introduction about all Quantitative roles in
Investment Banking
3. Highly flexible and tailored as per needs of individual
(10-50 % Quant Finance & 10-50% VBA)
4. Sensitization on derivative, Quant Equity corporate IB,
fixed income, Monte Carlo
5. Feel the same as you while you are on the IB desk
6. Examples with real data to enhance your Financial-IQ
7. New Interpretation, terminologies, and basic IQ for the
subject covered
8. Helpful for passing FRM, CFA, BAT exams also prepares
for Master level studies in Finance or career change
9. Right mix of data handling, scripting, mathematical skills
10. Contains right blend of learning and practice (Ratio 6:4)

3. 1. Introduction to Programming on VBA (comparison with
MATLAB, R , SAS, C++ etc)
2. Introduction to Quant Corporate Finance & Investment Banking :
WACC, Beta, Time series, EV/EBITDA screening weighting etc
(Monte Carlo)
3. Equity Quant
4. Data types, ranges and cell arrays, opening file, Data Handling &
Visualization, Playing with Ranges & Data validation
5. Logical operators, control flow, data tables, functions,
dependencies, joining strings, delimiter and data validation
6. Techniques for Handling Missing data & Data Pulling into Excel
7. Distributions, Normal, Inverse Normal, FRM, beta, KMV, VAR
8. Portfolio Optimization, Black Sholes
9. Advanced Monte Carlo
10. Extra / Projects/ Buffer

4. 1. Quant Corporate Finance (Investment Banking)
2. Quant Equity (Equity strategies and indices)
3. Yield curve / Fixed Income / ABS
4. Derivatives / Binomial pricing MC/ Hull white
/ BS / exotic options / KMV
5. Monte Carlo
6. Portfolio Optimization

5.  Equity Methods
 Corporate Finance
 Portfolio
 Fixed Income & derivatives
 Quant (Regression & time series)

6. 1. VBA Data Types
2. Logic Structures :IF – ELSEIF – ELSE – END IF IIF
SELECT CASE
3. Control Structures :FOR - NEXT loop FOR -
EACH loop DO WHILE loop DO UNTILL loop
4. Arrays in VBA : Array data types Single
dimensional Arrays Multi dimensional Arrays
Dynamic Arrays
5. How we can access arrays’ elements with control
structures , Fast Sorting of Data using Arrays
6. Program structures and Sub-routines
7. Functions Logical organization of Functions and
Sub-routines

7.  Excel VBA Program structure – Modules and Forms
 Logical and Physical organization of Excel VBA
programs –Excel File and Code Modules
 VBA subroutines :Logical algorithm of subroutine
program Building your first subroutine in VBA Editor
 User-Defined Function: Creating User-Defined
Functions in VBA
 Differences between Excel User-Defined Functions and
Subroutines, Accessing Excel functions from VBA
 How Macro generated codes help to write VBA
programs
 Error Handling
 Debugging subroutine / user defined function in VBA:
Stepping , Add watch , Quick watch
 Setting, Toggling and Clearing Breakpoints

8.  Basic Concept of Object Oriented Programming
 Introduction to Excel Objects
 Arrays and matrix algebra: How efficiently
Multidimensional Array can be used to
 manipulate matrices, Coding Correlation and
Covariance Matrices, Importing Data into Excel
from Text, CSV, etc.; Exporting Data from Excel
into Text, CSV, etc.; Database Access using
VBA
 Object Oriented Programming in Excel VBA
Class modules, User defined classes, Objects,
methods, properties and events

9.  Dependencies and removing arrows, removing dead cells
 Picking non blank cells, or cells with formula (data type)
 Selecting sheet and changing color
 Selection vs entire sheet
 For loops, if end if loops, exiting loop, placing end, nestled for loop
 Importing values from another sheet, without opening
 Change manual to automatic formula computation
 Data tables with one and two variables using VBA
 With Command
 Set Command
 := used where?
 Selecting cell with specific values
 Data tables (2 Variables)
 Combining array in a single cell using delimiter
 VBA editing of data validation, type data validation, playing with ranges
 Data validation
 playing with string to get the last value
 playing with axis of charts formatting
 Functions with many inputs
 On Error
 Option Explicit others
 Selective clearing arrays rows ranges by . clear command

10. 1. Finding dead cells and changing their color
2. Data validation default values
3. Playing with Ranges
4. Functions with dynamic inputs
5. For in for loop example to pick elements of a
range
6. Importing data from other files
7. Norm inverse, percentile regression for KMV
8. Joining and separating files with a delimiter
9. Monte Carlo

11.  Quant index, beta computations, different style
of index, equity derivatives, importance of
volume traded, value growth differences,
emerging and developed markets relations,
how indices are made, using ric ticker, equity
database research, etc

12.  WACC, Beta, Time series, EV/EBITDA
screening weighting etc.

13.  Data types, ranges and cell arrays, opening file,
Data Handling & Visualization

14.  Logical operators, control flow, data tables,
functions, dependencies, joining strings,
delimiter and data validation
 Functions
 Dynamic Inputs

15.  Missing Data
 Data Pulling into Excel

16.  Portfolio Optimization, Black Sholes, etc
 Yield curve / Fixed Income / ABS

17.  Distributions, Normal, Inverse Normal, FRM,
VAR